Evaluation of Stochastic Simulation Method for Generating Meteorological Data

Abstract
Long-term historical weather data are needed to conduct crop simulation analysis. Simulated climatic data may be used when long series of historic data are not available or convenient or when future data are needed. The aim of this study was to generate daily weather values for maximum and minimum air temperatures. A number of weather generators are compared here. Data from ten stations in Iran with long-term complete weather records were used to compare actual with generated data sets. The accuracy of the different models was assessed by means of three widely used statistics: coefficient of determination (R2), root mean square error (RMSE), and mean bias error (MBE). The calculated values of temperature are generally in good agreement with the data derived by the observation.

Keywords: Weather generator; ClimGen; Maximum and minimum air temperature.